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Field
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governing vibration responses measured by LDV and to improve the understanding of how embankment condition influences train-induced dynamic behaviour. Transfer functions linking LDV, ABA, TG, and wayside
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characterised through the analysis of vibration responses generated during train passages. With every train passage, a comprehensive set of dynamic response data will be collected, creating a continuously
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dynamics (MBD) approaches. The model will be used to investigate the mechanisms governing vibration responses measured by LDV and to improve the understanding of how embankment condition influences train
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resulting structural responses. The health condition of railway tracks on bridges will then be characterised through the analysis of vibration responses generated during train passages. With every train
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skills (evidenced by high grades) are required Prior research experience in problems related to fluid mechanics, structural vibrations, model reduction or control is expected Experience in nonlinear
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
learning (noise robustness, statistical generalisation) with those of symbolic AI (explainability and logical reasoning). The objective of this thesis is to study the contribution of neuro-symbolic
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
dimensional tolerances. This sensitivity analysiswill inform parameters and levels of noise used in RL policy randomization to improve the robustness and reliability of policy training. It will also provide
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, which are some of the most numerous stars in the Universe. "Weighing stars using stellar vibrations: Asteroseismic masses of Red Giant Stars using space telescope data" "Using optical telescope
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PhD fellowship in fault tolerant quantum algorithms PhD Project in state preparation, observable extraction or noise modelling Niels Bohr Institute Faculty of Science University of Copenhagen
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design. The IC Design group has made high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first